DOCX & Excel Extractor — Word, Spreadsheets, Google Drive, Dropbox

Extract text, paragraphs, tables, and structured data from Word documents (.docx) and Excel spreadsheets (.xlsx) — including Google Drive share links and Dropbox URLs. Batch up to 50 files per run. $0.005/file.

⚡ Run in 30 seconds

Paste any Word or Excel URL and click Start:

# Word document (direct URL)
https://example.com/report.docx

# Google Drive share link (auto-resolved)
https://drive.google.com/file/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgVE2upms/view

# Dropbox share link (auto-resolved)
https://www.dropbox.com/s/abc123/data.xlsx?dl=0

Perfect companion to PDF Text Extractor — same workflow, now for Office documents.

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Use cases

• LLM ingestion: Extract Word doc content and feed directly into Claude, GPT, or any RAG pipeline
• Spreadsheet → JSON: Convert Excel reports into structured JSON for databases or APIs
• Document processing pipelines: Batch-convert DOCX/XLSX archives to searchable text
• Data extraction: Pull tables from Word documents or rows from Excel sheets
• Content migration: Extract content from legacy Office files for CMS import

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Output — Word (.docx)

{
  "index": 1,
  "url": "https://example.com/report.docx",
  "file_type": "docx",
  "ok": true,
  "paragraph_count": 42,
  "word_count": 1850,
  "char_count": 11200,
  "heading_count": 8,
  "table_count": 2,
  "full_text": "Executive Summary\n\nThis report covers...",
  "headings": [{"text": "Executive Summary", "level": "Heading 1"}],
  "paragraphs": [{"text": "This report covers...", "style": "Normal"}],
  "tables": [{"table_index": 0, "rows": 5, "cols": 3, "data": [["Name", "Value", "Date"], ...]}],
  "metadata": {"title": "Q3 Report", "author": "John Smith", "created": "2026-01-15T10:00:00"},
  "fetched_at": "2026-08-08T07:00:00Z"
}

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Output — Excel (.xlsx)

{
  "index": 1,
  "url": "https://example.com/data.xlsx",
  "file_type": "xlsx",
  "ok": true,
  "sheet_count": 3,
  "total_rows": 2500,
  "sheets": [
    {
      "name": "Sales",
      "row_count": 1001,
      "col_count": 8,
      "headers": ["Date", "Product", "Region", "Revenue", "Units", "Cost", "Margin", "Rep"],
      "rows": [["2026-01-01", "Widget A", "North", "5400", "36", "2160", "60%", "Alice"]]
    }
  ],
  "fetched_at": "2026-08-08T07:00:00Z"
}

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Input options

Field	Default	Description
urls	—	List of .docx or .xlsx URLs (up to 50)
url	—	Single file URL (shortcut when urls is empty)
outputFormat	full	full includes all text/tables/rows; summary returns metadata + truncated text
maxRowsPerSheet	1000	Max rows per sheet for Excel files (up to 100,000)
limit	50	Max files per run

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Pricing

• $0.001 flat per run start
• $0.005 per successfully extracted file

Example: 10 Word documents = $0.051

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Supported formats

Format	Extension	Notes
Word 2007+	.docx	Full text, paragraphs, headings, tables, metadata
Excel 2007+	.xlsx	All sheets, headers, rows as JSON arrays

Legacy .doc (pre-2007 binary format) is not supported. Convert to .docx first using Word or LibreOffice.

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See also

• PDF Text Extractor — Same workflow for PDFs, including OCR for scanned documents
• Image OCR Extractor — Extract text from images using Tesseract OCR